Fiber sensing and signal processing
Extract useful information from fiber signals, addressing noise and signal features to build a foundation for event understanding.
Physical AI Sensing and Understanding for Infrastructure
Fiber senses. AI understands.
OX-SENSE brings distributed fiber sensing and AI together. We are integrating optical mechanisms, propagation principles and engineering constraints into model development to turn signals along infrastructure into event insights for monitoring and operations.
01 / FROM SIGNALS TO EVENTS
Connect to the physical world. Understand changes along the route.
Fiber captures changes in the field. Algorithms extract useful information, and models identify event features. We connect sensing, analysis and a monitoring platform to help teams locate changes, identify events that need attention and investigate further.
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Field disturbance
A change occurs on site
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Fiber sensing
Fiber captures signals along the route
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AI analysis
Extract features and identify events
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Event insight
Disturbance detected · Review needed
Conceptual workflow · Events require human investigation
02 / CORE CAPABILITIES
Grounded in physics. Interpreted through AI.
From signal processing to event understanding, we bring physical knowledge and data-driven learning together.
Physics-informed AI models
Integrate optical mechanisms, propagation principles and engineering constraints into model development for event recognition and classification in real settings.
Intelligent monitoring and application integration
Connect sensing data and model analysis to support field investigation, operational judgement and coordinated response.
03 / INDUSTRY SOLUTIONS
Across infrastructure. Focused on real monitoring needs.
Apply fiber sensing and AI analysis to specific monitoring challenges in energy, transport and security.
01 /
Power lines
Monitor disturbances and abnormal conditions along power infrastructure.
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Oil & gas
Sense activity along pipelines to support the identification of leaks and third-party activity.
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Smart rail
Analyze trackside vibration signals for train activity and changes along the route.
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Subsea
Explore continuous sensing of subsea infrastructure and disturbances along its route.
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Perimeter
Identify perimeter activity in complex signals and support alarm investigation.
Explore solution04 / CONTINUOUS DEVELOPMENT
Build on field experience. Keep advancing our capabilities.
We deepen our understanding of signals and events in real settings while developing models and our monitoring platform. Data supports analysis, models capture experience, and the platform connects insights to applications—bringing research and engineering practice together.
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Data accumulation
Understand field signals and events
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Model development
Combine physics and field experience
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Platform integration
Connect analysis with field investigation
Field validation and research iteration
05 / RESEARCH FOUNDATIONS
From fiber sensing research to understanding physical events.
OX-SENSE was founded by Professor Liyang Shao of Southern University of Science and Technology. His research focuses on intelligent distributed fiber sensing and engineering applications, including AI-driven distributed acoustic sensing. We continue to explore the integration of physical knowledge and model learning for intelligent infrastructure sensing.
Explore the research foundationsLET’S CONNECT
Bring AI and fiber sensing to your infrastructure.
Tell us about your assets, fiber conditions and target events. Together, we can explore a sensing solution for your site.
Discuss your application